similarity code is updated09

app/Hackathon_setup/face_recognition.py

@@ -92,8 +92,8 @@ def get_similarity(img1, img2):
     # YOUR CODE HERE, return similarity measure using your model
     feature_net.eval()
     print('face1.type', type(face1))
-    normalized_face1 = F.normalize(face1, p=2, dim=0)
-    normalized_face2 = F.normalize(face2, p=2, dim=0)
+    normalized_face1 = F.normalize(face1, dim=0)
+    normalized_face2 = F.normalize(face2, dim=0)
     output1,output2 = feature_net(normalized_face1,normalized_face2)
     euclidean_distance = F.pairwise_distance(output1, output2)
     #pairwise - more distance means less similarity